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NVIDIA’s Marco Pavone on AI Simulation, Safety, and the Road to Autonomous Vehicles - Ep. 260

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Content provided by The AI Podcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The AI Podcast or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode of the NVIDIA AI Podcast, Dr. Marco Pavone, Director of Autonomous Vehicle Research at NVIDIA and Professor at Stanford University, joins us to discuss the cutting-edge technologies making autonomous vehicles safer than ever. Learn how digital twins and high-fidelity simulation are improving vehicle testing, accelerating development, and reducing real-world risks. Dr. Pavone also shares insights on the latest advances in generative AI and foundation models, and its impact on autonomous vehicle innovation—from city streets to aerospace.

Learn more at: ai-podcast.nvidia.com

  continue reading

260 episodes

Artwork
iconShare
 
Manage episode 488072536 series 1413935
Content provided by The AI Podcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The AI Podcast or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode of the NVIDIA AI Podcast, Dr. Marco Pavone, Director of Autonomous Vehicle Research at NVIDIA and Professor at Stanford University, joins us to discuss the cutting-edge technologies making autonomous vehicles safer than ever. Learn how digital twins and high-fidelity simulation are improving vehicle testing, accelerating development, and reducing real-world risks. Dr. Pavone also shares insights on the latest advances in generative AI and foundation models, and its impact on autonomous vehicle innovation—from city streets to aerospace.

Learn more at: ai-podcast.nvidia.com

  continue reading

260 episodes

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